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Predicting resection volumes within the nasal cavity to improve patients breathing
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Paper Abstract

Current investigation techniques (Rhinomanometry, Endoscopy, e.g.) of the nasal cavity are not always able to diagnose a successful surgery outcome to relieve breathing. The presented approach uses medical imaging datasets (i.e. cone beam Computer Tomography) to simulate the flow through the nasal cavity with a Laser Doppler Anemometry (LDA) validated lattice Boltzmann (LB) simulation. In order to find potential surgically relevant points (SRP), the determination of the patient’s LB-simulated pressure drop is used for comparison with a critical pressure drop found by a sensitivity analysis (3 patients with nasal septum deviation, 1 person without breathing problems). Based on SRPs a developed optimizer shapes the nasal cavity. All locations of SRPs in postoperative CT datasets show an increase of the crosssection of the nasal cavity. The difference of cross-section between pre- and optimized nasal cavity in the postoperative CT is smaller than 15%. The optimization result shows good and this method will be validated in a future clinical trial.

Paper Details

Date Published: 13 March 2019
PDF: 7 pages
Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 1095036 (13 March 2019); doi: 10.1117/12.2512358
Show Author Affiliations
Manuel Berger, MCI – The Entrepreneurial School (Austria)
Univ. Hospital of Oto-Rhino-Laryngology, Medical Univ. Innsbruck (Austria)
Martin Pillei, MCI – The Entrepreneurial School (Austria)
Friedrich-Alexander-Univ. (Germany)
Andreas Mehrle, MCI – The Entrepreneurial School (Austria)
Wolfgang Recheis, Univ. Hospital of Radiology, Medical Univ. Innsbruck (Austria)
Florian Kral, Kardinal Schwarzenberg Hospital (Austria)
Michael Kraxner, MCI – The Entrepreneurial School (Austria)
Wolfgang Freysinger, Univ. Hospital of Oto-Rhino-Laryngology, Medical Univ. Innsbruck (Austria)


Published in SPIE Proceedings Vol. 10950:
Medical Imaging 2019: Computer-Aided Diagnosis
Kensaku Mori; Horst K. Hahn, Editor(s)

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